cconvey commented on a change in pull request #8952:
URL: https://github.com/apache/tvm/pull/8952#discussion_r703726265
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File path: python/tvm/relay/frontend/onnx.py
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@@ -3333,6 +3333,44 @@ def get_scalar(x, dtype="float32"):
return _qnn.op.quantize(out, c_scale, c_zero_point, out_dtype=dtype)
+class QLinearMatMul(OnnxOpConverter):
+ """Operator converter for QLinearMatMul from Microsoft onnxruntime contrib
opset."""
+
+ @classmethod
+ def _impl_v10(cls, inputs, attr, params):
+ def get_scalar(x, dtype="float32"):
+ if isinstance(x, _expr.Var) and x.name_hint in params:
+ return _op.const(params[x.name_hint].numpy(), dtype)
+ rank = len(infer_shape(x))
+ assert rank <= 1, "QLinearMul scale and zero_point input must be
scalars"
Review comment:
Copy-pasta of op name needs fix
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